Image Engineering (Volume 1) — Image Processing (2nd Edition)

Author: Zhang Yujin
Publisher:
Publish Date: 2006-03-01
Features: This book is the first volume of "Image Engineering" and primarily introduces the hierarchy of image engineering, including basic concepts, fundamental principles, typical methods, practical techniques, and new research achievements in the field internationally. The main content of this book is organized into three units.
The first unit (Chapters 1, 2, 3, and 4) primarily covers the basics of image engineering and the overall state of the field, discussing preliminary image acquisition techniques and common spatial enhancement techniques to lay the foundation for further study. The second unit (Chapters 5, 6, 7, 8, and 9) focuses on image processing techniques for improving image quality. Chapter 5 provides a foundational introduction to basic image transformations, while Chapters 6, 7, and 8 respectively introduce frequency-domain enhancement, color processing, and image restoration techniques. Chapter 9, on image reconstruction techniques, can be considered a special case of image restoration. The third unit (Chapters 10, 11, 12, 13, and 14) primarily covers technologies related to image coding. The typical image transformations introduced in Chapter 10 serve as the foundation for the following chapters, Chapters 11 and 12 discuss image coding, Chapter 13 discusses image watermarking, and Chapter 14 introduces multi-scale techniques while providing a review of the entire book. The appendices introduce some international standards related to image engineering, primarily relevant to the third unit. The book also provides numerous examples, discussion questions, and exercises, with solutions provided for half of the exercises. This book can serve as a foundational textbook for undergraduate and graduate students in disciplines such as signal and information processing, communication and information systems, electronic and communication engineering, pattern recognition and intelligent systems, and computer vision. It can also be referenced by researchers and professionals in fields such as information and communication engineering, electronic science and technology, computer science and technology, measurement and control technology and instruments, robotics and automation, biomedical engineering, optics, electronic medical device development, remote sensing, surveying and mapping, and military reconnaissance.